Content
82%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable research workflow with strong sequencing, halt conditions, and validation/feedback for batch vault writes. The main weakness is the inlined, somewhat duplicative backend-registry YAML that would benefit from being referenced out.
Suggestions
Move the full 'Starter registry template' YAML to a separate references file and link to it, keeping only a short inline example in SKILL.md to reduce duplication and token cost.
Tighten the Research Backends section by collapsing the two near-identical yt-dlp-transcript examples into one, since they repeat the same invoke template.
Specify concrete defaults or examples for placeholder values like <N>, <N_unique_sources>, and timestamps so the filing templates are fully copy-paste ready.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Efficient, sectioned, and assumes Claude's competence; the full starter-registry YAML template is somewhat duplicative with the earlier backend example and could be trimmed. | 4 / 5 |
Actionability | Provides concrete YAML frontmatter templates, specific shell commands, and real tool names; minor gaps remain in placeholder timestamps and un-specified N values. | 4 / 5 |
Workflow Clarity | A clearly sequenced three-round process with explicit halt conditions, a quality checklist, and feedback loops for the batch vault-write operation (e.g., QMD refresh failure handled separately, merge-into-existing checks). | 5 / 5 |
Progressive Disclosure | Well-organized into clearly signaled sections (Before You Start, Rounds 1–3, Filing, Update Tracking); however the optional backends YAML is fully inlined rather than referenced out to a separate file, leaving minor organization gaps. | 4 / 5 |
Total | 17 / 20 Passed |